# NOSIBLE

> NOSIBLE gives AI complete situational awareness. Our 30-year intelligence platform detects and enriches global events, from politics to finance to sports, in near-real-time.

## Products, access, and site overview

- [Worldwide Web Surveillance](https://nosible.com/agents/index.md): NOSIBLE gives AI complete situational awareness. Our 30-year intelligence platform detects and enriches global events, from politics to finance to sports, in near-real-time. ([Web page](https://nosible.com))
- [One web index. Five endpoints.](https://nosible.com/agents/search-api.md): One web index for AI agents: web search, bulk retrieval, enriched results, HTML-to-JSON conversion, and agentic search from Python, TypeScript, or raw HTTP. ([Web page](https://nosible.com/search-api))
- [Request a free 90-day NOSIBLE World trial.](https://nosible.com/agents/start-trial.md): Request a free 90-day NOSIBLE World v1.2 trial and review the event schema, coverage analysis, samples, delivery options, DDQs, policies, and research. ([Web page](https://nosible.com/start-trial))
- [Search the NOSIBLE website.](https://nosible.com/agents/search.md): Search NOSIBLE products, research, comparisons, trial information and trust documentation. ([Web page](https://nosible.com/search))
- [Media Kit](https://nosible.com/agents/media-kit.md): Download official NOSIBLE logos, approved company copy, brand guidelines, illustrations and graphics, with media contact details for press and partners. ([Web page](https://nosible.com/media-kit))

## API reference

- [API Reference](https://nosible.com/agents/api-reference.md): The canonical API documentation for NOSIBLE Search API and World API. Use the API Reference for the current endpoint schemas, authentication, request parameters, response fields, examples, and error behavior. ([Web page](https://docs.nosible.com))

## Usage

- [Turn web text into semantic stock betas](https://nosible.com/agents/semantic-factors.md): An inspectable catalogue of 30 open-source semantic factors for quant portfolio managers: 24 relevance anchors, 3 polarity pairs, daily history, code, and CSV. ([Web page](https://nosible.com/semantic-factors))
- [Build risk models that read the world.](https://nosible.com/agents/macro-factor-risk-models.md): Build macro risk models that read the open web. NOSIBLE WORLD supplies 100M dated events in 95 languages across 30 years for text-derived factor research. ([Web page](https://nosible.com/macro-factor-risk-models))
- [Map 2nd and 3rd order economic impact.](https://nosible.com/agents/econometric-event-studies.md): Map 2nd and 3rd order economic impact. One event traced across firms, suppliers, sector peers, and policy reactions, every edge dated on the open web. ([Web page](https://nosible.com/econometric-event-studies))
- [Detect regime shifts at the narrative level.](https://nosible.com/agents/regime-switching-models.md): Detect regime shifts at the narrative level. NOSIBLE WORLD captures the story turn in 95 languages, days or weeks before variance confirms the break. ([Web page](https://nosible.com/regime-switching-models))
- [Build AI forecasters that win on ForecastBench.](https://nosible.com/agents/agentic-superforecasters.md): Build AI forecasters that win on ForecastBench. NOSIBLE WORLD provides dated, multilingual, point-in-time retrieval for inference-time agent search. ([Web page](https://nosible.com/agentic-superforecasters))
- [Go beyond factors, trade world events.](https://nosible.com/agents/backtesting-event-driven-strategies.md): Go beyond factors, trade world events. Backtest against 30 years of dated shocks in 95 languages on the open web with zero look-ahead bias by construction. ([Web page](https://nosible.com/backtesting-event-driven-strategies))
- [Train or fine-tune point-in-time LLMs.](https://nosible.com/agents/training-large-event-models.md): Pretrain or fine-tune point-in-time LLMs on NOSIBLE WORLD. 100M dated, multilingual events on the open web, replayable to any past as_of for clean evals. ([Web page](https://nosible.com/training-large-event-models))

## Research

- [Our / Research](https://nosible.com/agents/blog/index.md): Original NOSIBLE research on point-in-time data, search, embeddings, market signals and AI-native media intelligence. ([Web page](https://nosible.com/blog))
- [Artificial Intelligence](https://nosible.com/agents/blog/tag/artificial-intelligence.md): Research on AI systems, agents, and language-model applications for search and quantitative research. ([Web page](https://nosible.com/blog/tag/artificial-intelligence))
- [Machine Learning](https://nosible.com/agents/blog/tag/machine-learning.md): Research on machine-learning methods, embeddings, and model development for web and market intelligence. ([Web page](https://nosible.com/blog/tag/machine-learning))
- [Infrastructure](https://nosible.com/agents/blog/tag/infrastructure.md): Browse NOSIBLE research articles about Infrastructure, with original methods, data and results. ([Web page](https://nosible.com/blog/tag/infrastructure))
- [What 350+ Experiments Taught Us About Serving Qwen 3.6 35B-A3B](https://nosible.com/agents/blog/what-350-experiments-taught-us-about-serving-qwen-3-6.md): 350+ Qwen 35B-A3B serving experiments on H200 and RTX PRO 6000 cut steady-state cost 42.3%. Results cover quantization, MTP, DFlash, memory, and kernels. ([Web page](https://nosible.com/blog/what-350-experiments-taught-us-about-serving-qwen-3-6))
- [Risk Indicator](https://nosible.com/agents/blog/tag/risk-indicator.md): Research on constructing and validating point-in-time indicators of economic, geopolitical, and market risk. ([Web page](https://nosible.com/blog/tag/risk-indicator))
- [NOSIBLE World](https://nosible.com/agents/blog/tag/nosible-world.md): Research using NOSIBLE World, the point-in-time event dataset for web-scale quantitative analysis. ([Web page](https://nosible.com/blog/tag/nosible-world))
- [The Future That Could Have Been: Turning Web Text into Semantic Stock Betas](https://nosible.com/agents/blog/the-future-that-could-have-been-turning-web-text-into-semantic-stock-betas.md): Learn how semantic-factors turns NOSIBLE World web text into transparent daily risk factors and stock-specific betas for quantitative research. ([Web page](https://nosible.com/blog/the-future-that-could-have-been-turning-web-text-into-semantic-stock-betas))
- [Web Search](https://nosible.com/agents/blog/tag/web-search.md): Research on building, operating, and improving web-scale search systems for AI and quantitative workflows. ([Web page](https://nosible.com/blog/tag/web-search))
- [Information Retrieval](https://nosible.com/agents/blog/tag/information-retrieval.md): Research on finding, routing, ranking, and structuring evidence from the web for reliable retrieval. ([Web page](https://nosible.com/blog/tag/information-retrieval))
- [Point-in-Time Knowledge Graphs over Named Entities with NOSIBLE World](https://nosible.com/agents/blog/point-in-time-knowledge-graphs-over-named-entities.md): Build point-in-time knowledge graphs from dated NOSIBLE World events using named entities and lift-scored co-mentions—without lookahead bias. ([Web page](https://nosible.com/blog/point-in-time-knowledge-graphs-over-named-entities))
- [Two Tricks for Turning Sentence Embeddings into Clean Features](https://nosible.com/agents/blog/the-contrastive-geometry-of-risk.md): **Input sentence:** *"Central banks across every major economy warn that a synchronized financial shock is freezing credit and driving stock markets lower worldwide."* ([Web page](https://nosible.com/blog/the-contrastive-geometry-of-risk))
- [An Embedding-Based Approach to Trade and Economic Policy Uncertainty](https://nosible.com/agents/blog/an-embedding-based-approach-to-trade-and-economic-policy-uncertainty.md): Rebuild the Fed’s Trade Policy Uncertainty index from 14.9 million NOSIBLE World events using embeddings, then extend the method to broader policy risk. ([Web page](https://nosible.com/blog/an-embedding-based-approach-to-trade-and-economic-policy-uncertainty))
- [Trading Signals](https://nosible.com/agents/blog/tag/trading-signals.md): Research on operational signals and strategies derived from NOSIBLE data and public-web evidence. ([Web page](https://nosible.com/blog/tag/trading-signals))
- [Turning News into a Risk-On/Risk-Off Equity Signal](https://nosible.com/agents/blog/turning-news-into-a-risk-on-risk-off-equity-signal.md): Build a point-in-time market-stress signal from NOSIBLE World that cuts S&P 500 drawdown and transfers unchanged to the Nasdaq and Russell 2000. ([Web page](https://nosible.com/blog/turning-news-into-a-risk-on-risk-off-equity-signal))
- [We Rebuilt the Geopolitical Risk Index with Nosible World](https://nosible.com/agents/blog/rebuilding-the-geopolitical-risk-index-from-nosible-world.md): Rebuild the geopolitical risk index from 13.2 million NOSIBLE World events and reproduce its global, country, country-pair and oil-risk signals. ([Web page](https://nosible.com/blog/rebuilding-the-geopolitical-risk-index-from-nosible-world))
- [Financial Sentiment](https://nosible.com/agents/blog/tag/financial-sentiment.md): Research on measuring, modelling, and validating financial-news sentiment. ([Web page](https://nosible.com/blog/tag/financial-sentiment))
- [Matching GPT-5.1 at Financial Sentiment with Active Learning and Qwen3](https://nosible.com/agents/blog/fast-enough-to-matter-productionizing-tiny-transformers-for-signal-extraction.md): Some peers in the therapeutics segment have already reported their Q3 results. Gilead Sciences posted year-on-year revenue growth of 3%, beating expectations by 3.7%, and Biogen reported revenue up 2.8%, topping estimates by 8.2%. Following their reports, Gilead Sciences's stock traded up 1.2% and Biogen's stock was up 4.1%. ([Web page](https://nosible.com/blog/fast-enough-to-matter-productionizing-tiny-transformers-for-signal-extraction))
- [Can Faceted Search at Web-Scale Self Organize?](https://nosible.com/agents/blog/can-faceted-search-at-web-scale-self-organize.md): See how adaptive named-entity tagging lets a web-scale search index organize itself into useful facets without relying on a fixed taxonomy. ([Web page](https://nosible.com/blog/can-faceted-search-at-web-scale-self-organize))
- [Introducing Cybernaut-1: Agentic Search using MCTS](https://nosible.com/agents/blog/introducing-cybernaut-1-agentic-search-with-mcts.md): Meet Cybernaut-1, NOSIBLE’s agentic search system combining hybrid retrieval with LLM-guided Monte Carlo Tree Search. ([Web page](https://nosible.com/blog/introducing-cybernaut-1-agentic-search-with-mcts))
- [The Road to Cybernaut-1: Rebuilding Search for AI](https://nosible.com/agents/blog/the-road-to-cybernaut-1.md): **11,343: CRISPR Genome Editing Using sgRNA, Plasmids, Nucleases, and Homologous Recombination in Bacterial and Yeast Systems** ([Web page](https://nosible.com/blog/the-road-to-cybernaut-1))
- [A Pattern for Scaling the Value Proposition of LLMs: Ensemble and Distil 🚀](https://nosible.com/agents/blog/ensemble-and-distil.md): **Well, sh*t! Now what?** ([Web page](https://nosible.com/blog/ensemble-and-distil))
- [News Sentiment Showdown: Who Checks Vibes Best?](https://nosible.com/agents/blog/news-sentiment-showdown-who-checks-vibes-best.md): Is the volume of positive M&A news associated with Microsoft increasing or decreasing relative to the volume of negative M&A news? ([Web page](https://nosible.com/blog/news-sentiment-showdown-who-checks-vibes-best))
- [Using Vector Search to See Signals in Company News](https://nosible.com/agents/blog/using-vector-search-to-see-signals-in-company-news.md): Use vector search over company news to extract investment signals from a multi-terabyte, point-in-time corpus of more than 55 million embeddings. ([Web page](https://nosible.com/blog/using-vector-search-to-see-signals-in-company-news))

## Ontology reference

- [Event ontology index](https://nosible.com/agents/ontologies/index.md): Explore 16 event ontologies, 4,000+ categories, 48 example usages and downloadable World V1.2 evidence built for investment and risk research. ([Web page](https://nosible.com/ontologies))
- [Asset Class Ontology](https://nosible.com/agents/ontologies/asset-classes.md): Explore 39 asset-class categories and example usages tracing inflation, banking contagion and tariff repricing across investable market channels. ([Web page](https://nosible.com/ontologies/asset-classes))
- [Ekman-7 Emotion Ontology](https://nosible.com/agents/ontologies/ekman-emotion.md): Explore seven reported emotion categories, World V1.2 base rates and example usages that separate threat, blame, loss, rejection and surprise through time. ([Web page](https://nosible.com/ontologies/ekman-emotion))
- [EM-DAT Disaster Classification](https://nosible.com/agents/ontologies/em-dat.md): Explore 43 EM-DAT disaster categories and evidence linking extreme-heat reporting, normalized climate-sensitive attention and hazard-specific narratives. ([Web page](https://nosible.com/ontologies/em-dat))
- [World Geography](https://nosible.com/agents/ontologies/geography.md): Explore 231 geographic categories and example usages tracing Red Sea shipping risk, banking stress and pandemic reporting across regions and countries. ([Web page](https://nosible.com/ontologies/geography))
- [GICS Industry Classification](https://nosible.com/agents/ontologies/gics.md): Explore 237 GICS categories and example usages tracing AI concentration, semiconductor shortages and commercial-property stress across exposed industries. ([Web page](https://nosible.com/ontologies/gics))
- [IAB Content Ontology](https://nosible.com/agents/ontologies/iab-content-taxonomy.md): Explore 709 IAB content categories and evidence showing how banking stress, labor disruption and hurricane risk rotate attention across investable subjects. ([Web page](https://nosible.com/ontologies/iab-content-taxonomy))
- [ICD-11 Chapters and Blocks](https://nosible.com/agents/ontologies/icd-11.md): Explore 300 ICD-11 chapter and block categories with evidence on H5N1, GLP-1 and mental-health reporting across distinct clinical and market contexts. ([Web page](https://nosible.com/ontologies/icd-11))
- [IPTC News Genre](https://nosible.com/agents/ontologies/iptc-genre.md): Explore 55 IPTC News Genre categories, World V1.2 evidence and example usages showing how forecasts, obituaries and supplied formats change event research. ([Web page](https://nosible.com/ontologies/iptc-genre))
- [IPTC Media Topics](https://nosible.com/agents/ontologies/iptc-media-topics.md): Explore 718 IPTC Media Topic categories and example usages showing how COVID-19, Suez and GameStop reporting migrate across distinct subject regimes. ([Web page](https://nosible.com/ontologies/iptc-media-topics))
- [Media Frames](https://nosible.com/agents/ontologies/media-frames.md): Explore five media-frame categories and evidence showing how conflict, responsibility, economic consequence and human-interest reporting separate event risks. ([Web page](https://nosible.com/ontologies/media-frames))
- [MITRE ATT&CK Enterprise](https://nosible.com/agents/ontologies/mitre-attack.md): Explore 866 MITRE ATT&CK categories and example usages separating ransomware persistence, exfiltration and operational impact across major cyber incidents. ([Web page](https://nosible.com/ontologies/mitre-attack))
- [NOSIBLE Event Ontology](https://nosible.com/agents/ontologies/nosible-events.md): Explore 416 corporate event categories and example usages following Credit Suisse, Microsoft-Activision and CrowdStrike through changing risk mechanisms. ([Web page](https://nosible.com/ontologies/nosible-events))
- [PLOVER Political Events](https://nosible.com/agents/ontologies/plover.md): Explore 88 PLOVER political-event categories and example usages separating threats, sanctions, strikes and concessions across geopolitical and policy episodes. ([Web page](https://nosible.com/ontologies/plover))
- [Schema.org Event Types](https://nosible.com/agents/ontologies/schema-org-events.md): Explore 26 Schema.org event categories and example usages that expose repeatable clocks around company conferences, retail events and entertainment releases. ([Web page](https://nosible.com/ontologies/schema-org-events))
- [SportsML Categories](https://nosible.com/agents/ontologies/sportsml.md): Explore 336 SportsML categories and example usages measuring padel growth, Olympic breakdancing and new Formula One attention windows in World V1.2. ([Web page](https://nosible.com/ontologies/sportsml))
- [UN Sustainable Development Goals](https://nosible.com/agents/ontologies/sustainable-development-goals.md): Explore 186 UN Sustainable Development Goal categories and example usages on climate finance, clean-energy implementation and European gas-demand reduction. ([Web page](https://nosible.com/ontologies/sustainable-development-goals))

## Data dictionaries

- [Data dictionary index](https://nosible.com/agents/data-dictionaries.md): Field-level data dictionaries for the NOSIBLE World event dataset and every NOSIBLE Search API endpoint, each available as a PDF download. ([Web page](https://nosible.com/data-dictionaries))

## Legal

- [Compliance and trust](https://nosible.com/agents/legal/compliance.md): Review NOSIBLE's policies for public-web crawling, copyright, privacy, and security before procurement, legal review, or deployment. ([Web page](https://nosible.com/legal/compliance))
- [Our posture on crawling](https://nosible.com/agents/legal/crawling.md): How NOSIBLE crawls public written content, excludes high-risk sources, prioritizes URLs, and verifies point-in-time dates. ([Web page](https://nosible.com/legal/crawling))
- [Our posture on copyright](https://nosible.com/agents/legal/copyright.md): NOSIBLE's copyright position for search, snippets, attribution, non-substitution, technical copying, and legal review. ([Web page](https://nosible.com/legal/copyright))
- [Our posture on privacy](https://nosible.com/agents/legal/privacy.md): How NOSIBLE minimizes personal data, retains limited usage logs, and handles removal, objection, erasure, and delisting requests. ([Web page](https://nosible.com/legal/privacy))
- [Our posture on security](https://nosible.com/agents/legal/security.md): How NOSIBLE secures its APIs, infrastructure, data handling, delivery, access controls, and compliance work. ([Web page](https://nosible.com/legal/security))

## Optional

- [NOSIBLE Vendor Comparisons](https://nosible.com/agents/compare/index.md): Compare NOSIBLE SEARCH and WORLD with financial news, ESG risk, media intelligence, and open event data vendors across coverage, timing, APIs, and model workflows. ([Web page](https://nosible.com/compare))
- [NOSIBLE vs RavenPack](https://nosible.com/agents/compare/nosible-vs-ravenpack.md): Compare NOSIBLE and RavenPack on point-in-time event intelligence, source coverage, sentiment, delivery, AI agents, and backtesting. ([Web page](https://nosible.com/compare/nosible-vs-ravenpack))
- [NOSIBLE vs Bloomberg](https://nosible.com/agents/compare/nosible-vs-bloomberg.md): Compare NOSIBLE and Bloomberg for point-in-time event intelligence, open-web search, AI agents, backtesting, multilingual coverage, delivery, and market signal discovery. ([Web page](https://nosible.com/compare/nosible-vs-bloomberg))
- [NOSIBLE WORLD vs LSEG](https://nosible.com/agents/compare/nosible-vs-lseg.md): A NOSIBLE-authored comparison of NOSIBLE WORLD, a web-scale search and market-event intelligence engine for AI agents, and LSEG (formerly Refinitiv) Machine Readable News. Coverage, point-in-time integrity, identifiers, delivery, and pricing. ([Web page](https://nosible.com/compare/nosible-vs-lseg))
- [NOSIBLE vs Dow Jones](https://nosible.com/agents/compare/nosible-vs-dow-jones.md): Compare NOSIBLE and Dow Jones for open-web event intelligence, point-in-time research, AI agents, language coverage, source access, delivery, and backtesting. ([Web page](https://nosible.com/compare/nosible-vs-dow-jones))
- [NOSIBLE vs AlphaSense](https://nosible.com/agents/compare/nosible-vs-alphasense.md): Compare NOSIBLE and AlphaSense for market research, source access, AI workflows, point-in-time analysis, monitoring, and enterprise intelligence. ([Web page](https://nosible.com/compare/nosible-vs-alphasense))
- [NOSIBLE vs Kensho](https://nosible.com/agents/compare/nosible-vs-kensho.md): Compare NOSIBLE and Kensho for financial AI data APIs, S&P data access, cited retrieval, open-web evidence, ranked events, and research-agent workflows. ([Web page](https://nosible.com/compare/nosible-vs-kensho))
- [NOSIBLE WORLD vs FactSet](https://nosible.com/agents/compare/nosible-vs-factset-truvalue.md): How NOSIBLE WORLD, a web-scale search and market-event intelligence engine for AI agents, compares with FactSet Truvalue Labs, an outside-in ESG signals provider. Coverage, point-in-time integrity, scope, and use cases. ([Web page](https://nosible.com/compare/nosible-vs-factset-truvalue))
- [NOSIBLE WORLD vs RepRisk](https://nosible.com/agents/compare/nosible-vs-reprisk.md): How NOSIBLE WORLD, a web-scale search and market-event intelligence engine for AI agents, compares with RepRisk, an ESG and business-conduct risk data provider. Coverage, point-in-time integrity, scope, and use cases. ([Web page](https://nosible.com/compare/nosible-vs-reprisk))
- [NOSIBLE vs SESAMm](https://nosible.com/agents/compare/nosible-vs-sesamm.md): Compare NOSIBLE and SESAMm on point-in-time integrity, event intelligence, ESG workflows, source coverage, languages, APIs, and AI-agent access. ([Web page](https://nosible.com/compare/nosible-vs-sesamm))
- [NOSIBLE WORLD vs Signal AI](https://nosible.com/agents/compare/nosible-vs-signal-ai.md): How NOSIBLE WORLD, a web-scale search and market-event intelligence engine for AI agents, compares with Signal AI, a reputation and risk intelligence platform. Coverage, point-in-time integrity, scope, and use cases. ([Web page](https://nosible.com/compare/nosible-vs-signal-ai))
- [NOSIBLE vs MarketPsych](https://nosible.com/agents/compare/nosible-vs-marketpsych.md): Compare NOSIBLE and MarketPsych for sentiment analytics, AI agents, point-in-time search, event intelligence, language coverage, and source retrieval. ([Web page](https://nosible.com/compare/nosible-vs-marketpsych))
- [NOSIBLE vs MKT MediaStats](https://nosible.com/agents/compare/nosible-vs-mkt-mediastats.md): Compare NOSIBLE and MKT MediaStats for point-in-time event intelligence, raw source retrieval, AI agents, factor workflows, delivery, and backtesting. ([Web page](https://nosible.com/compare/nosible-vs-mkt-mediastats))
- [NOSIBLE vs Opoint](https://nosible.com/agents/compare/nosible-vs-opoint.md): Compare NOSIBLE and Opoint for media intelligence, curated news data, APIs, dated source evidence, event history, and research-agent workflows. ([Web page](https://nosible.com/compare/nosible-vs-opoint))
- [NOSIBLE vs Alexandria](https://nosible.com/agents/compare/nosible-vs-alexandria.md): Compare NOSIBLE and Alexandria Technology across AI agent readiness, point-in-time retrieval, sentiment scoring, event data, APIs, and source coverage. ([Web page](https://nosible.com/compare/nosible-vs-alexandria))
- [NOSIBLE vs Exa](https://nosible.com/agents/compare/nosible-vs-exa.md): Compare NOSIBLE and Exa for web search APIs, agent workflows, structured web-data collection, source evidence, event history, and research delivery. ([Web page](https://nosible.com/compare/nosible-vs-exa))
- [NOSIBLE vs Parallel Web Systems](https://nosible.com/agents/compare/nosible-vs-parallel.md): Compare NOSIBLE and Parallel Web Systems for web research APIs, task execution, source evidence, citations, event history, and agent workflows. ([Web page](https://nosible.com/compare/nosible-vs-parallel))
- [NOSIBLE vs Tavily](https://nosible.com/agents/compare/nosible-vs-tavily.md): Compare NOSIBLE and Tavily for agent search APIs, extraction, crawling, research, source evidence, event history, and delivery options. ([Web page](https://nosible.com/compare/nosible-vs-tavily))
- [NOSIBLE vs News API](https://nosible.com/agents/compare/nosible-vs-news-api.md): Compare NOSIBLE and News API for news search, headlines, source coverage, response content, dated evidence, event history, and research workflows. ([Web page](https://nosible.com/compare/nosible-vs-news-api))
- [NOSIBLE WORLD vs GDELT](https://nosible.com/agents/compare/nosible-vs-gdelt.md): How NOSIBLE WORLD, a web-scale search and market-event intelligence engine for AI agents, compares with GDELT, a free and open global-news research platform. Coverage, history, delivery, and use cases. ([Web page](https://nosible.com/compare/nosible-vs-gdelt))
- [NOSIBLE vs Common Crawl](https://nosible.com/agents/compare/nosible-vs-common-crawl.md): Compare NOSIBLE and Common Crawl for open web data, crawl archives, indexes, source evidence, event history, processing effort, and research workflows. ([Web page](https://nosible.com/compare/nosible-vs-common-crawl))
- [Full content reference](https://nosible.com/llms-full.txt)
- [Sitemap index](https://nosible.com/sitemap-index.xml)
- [Robots](https://nosible.com/robots.txt)